Aurora Hermoso-Carazo

发表

Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2009, Signal Process..

Polynomial Estimation of Signals from Uncertain Observations Using Covariance Information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, ICINCO.

Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2008, Math. Comput. Model..

New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Int. J. Syst. Sci..

Covariance-Based Estimation for Clustered Sensor Networks Subject to Random Deception Attacks

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Sensors.

A Two-Phase Distributed Filtering Algorithm for Networked Uncertain Systems with Fading Measurements under Deception Attacks

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2020, Sensors.

Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Inf. Fusion.

Signal estimation with multiple delayed sensors using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2010, Digit. Signal Process..

Linear estimation based on covariances for networked systems featuring sensor correlated random delays

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2013, Int. J. Syst. Sci..

Polynomial fixed-point smoothing of uncertainly observed signals based on covariances

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Int. J. Syst. Sci..

Design of RLS Wiener estimators from randomly delayed observations in linear discrete-time stochastic systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2010, Appl. Math. Comput..

Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Int. J. Gen. Syst..

Different approaches for state filtering in nonlinear systems with uncertain observations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, A. Hermoso-Carazo, 2007, Appl. Math. Comput..

Filtering and prediction from uncertain observations with correlated signal and noise via mixture approximations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2007, Signal Process..

Unscented Filtering Algorithm for Discrete-Time Systems with Uncertain Observations and State-Dependent Noise

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2011 .

Quadratic extended filtering in nonlinear systems with uncertain observations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, S. M. Valenzuela-Ruiz, 2014 .

Quadratic estimation from uncertain observations with white plus coloured noises using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, Appl. Math. Comput..

New recursive estimators from correlated interrupted observations using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Int. J. Syst. Sci..

Covariance-based fusion filtering for networked systems with random transmission delays and non-consecutive losses

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Int. J. Gen. Syst..

Fixed-Lag Smoothing Algorithm under Non-independent Uncertainty

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2005, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Extended and unscented filtering algorithms using one-step randomly delayed observations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, A. Hermoso-Carazo, 2007, Appl. Math. Comput..

Linear estimation using covariance information in distributed parameter systems with non-independent uncertainty

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2006, Signal Process..

Design of recursive Wiener fixed-point smoothers based on innovations approach in linear discrete-time stochastic systems

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Appl. Math. Comput..

Networked fusion estimation with multiple uncertainties and time-correlated channel noise

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2020, Inf. Fusion.

New Derivation of the Filter and Fixed-Interval Smoother with Correlated Uncertain Observations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004, ICINCO.

Centralized Fusion Approach to the Estimation Problem with Multi-Packet Processing under Uncertainty in Outputs and Transmissions

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2018, Sensors.

Continuous-Time Signal Filtering from Non-Independent Uncertain Observations

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2004, ICINCO.

Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2017, Sensors.

RLS Wiener Predictor with Uncertain Observations in Linear Discrete-Time Stochastic Systems

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2011, J. Signal Inf. Process..

Covariance-based estimation algorithms in networked systems with mixed uncertainties in the observations

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2014, Signal Process..

A general smoothing equation for signal estimation using randomly delayed observations in the correlated signal-noise case

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2006, Digit. Signal Process..

Least-squares linear estimators using measurements transmitted by different sensors with packet dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2012, Digit. Signal Process..

Recursive Estimation Algorithm Based on Covariances for Uncertainly Observed Signals Correlated with Noise

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Second-order polynomial estimators from uncertain observations using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Appl. Math. Comput..

Covariance-based least-squares filtering algorithm under Markovian measurement delays

Aurora Hermoso-Carazo, Josefa Linares-Pérez, M. J. García-Ligero, 2020, Int. J. Comput. Math..

Estimation Algorithm from Randomly Delayed Observations with White Plus Coloured Noises

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2004, ICINCO.

Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Sensors.

Optimal Filtering Algorithm based on Covariance Information using a Sequential Fusion Approach

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, ICINCO.

Distributed estimation based on covariances under network-induced phenomena described by random measurement matrices

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Int. J. Gen. Syst..

Recursive estimators of signals from measurements with stochastic delays using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Appl. Math. Comput..

Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2016, Signal Process..

Least-squares linear estimation of signals from observations with Markovian delays

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2011, J. Comput. Appl. Math..

Chandrasekhar-type filter for a wide-sense stationary signal from uncertain observations using covariance information

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2004, Appl. Math. Comput..

Recursive estimation of discrete-time signals from nonlinear randomly delayed observations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2009, Comput. Math. Appl..

Distributed and centralized fusion estimation from multiple sensors with Markovian delays

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2012, Appl. Math. Comput..

Estimation for discrete-time systems with multiple packet dropouts using covariance information

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2011, Math. Comput. Model..

Fixed-interval smoothing problem from uncertain observations with correlated signal and noise

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2004, Appl. Math. Comput..

Design of estimators using covariance information with uncertain observations in linear discrete-time distributed parameter systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2002 .

Derivation of centralized and distributed filters using covariance information

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2011, Comput. Stat. Data Anal..

Centralized filtering and smoothing algorithms from outputs with random parameter matrices transmitted through uncertain communication channels

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Digit. Signal Process..

Suboptimal estimation of signals from uncertain observations using approximations of mixtures

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2007, Digit. Signal Process..

Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Signal Process..

Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, Signal Process..

A new approach to distributed fusion filtering for networked systems with random parameter matrices and correlated noises

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2018, Inf. Fusion.

Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2011, Appl. Math. Comput..

Least-squares nuth-order polynomial estimation of signals from observations affected by non-independent uncertainty

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2006, Appl. Math. Comput..

Signal Estimation with Random Parameter Matrices and Time-correlated Measurement Noises

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2019, ICINCO.

RLS Wiener estimators from observations with multiple and random delays in linear discrete-time stochastic systems

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2013, Appl. Math. Comput..

Least-Squares Linear Smoothers from Randomly Delayed Observations with Correlation in the Delay

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2006, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

New design of estimators using covariance information with uncertain observations in linear discrete-time systems

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Appl. Math. Comput..

Design of fixed-lag smoother using covariance information based on innovations approach in linear discrete-time stochastic systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2007, Appl. Math. Comput..

Filtering in Generalized Signal-Dependent Noise Model Using Covariance Information

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2008, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises

Aurora Hermoso-Carazo, Josefa Linares-Pérez, M. J. García-Ligero, 2010, J. Comput. Appl. Math..

Linear recursive discrete-time estimators using covariance information under uncertain observations

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Signal Process..

Fixed-interval smoothing algorithm based on covariances with correlation in the uncertainty

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005, Digit. Signal Process..

Distributed fusion estimation in networked systems with uncertain observations and Markovian random delays

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2015, Signal Process..

Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2020, Int. J. Syst. Sci..

Quadratic Estimation of Multivariate Signals from Randomly Delayed Measurements*

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2005, Multidimens. Syst. Signal Process..

Distributed Fusion Estimation with Sensor Gain Degradation and Markovian Delays

Aurora Hermoso-Carazo, Josefa Linares-Pérez, María J. García-Ligero, 2020 .

Recursive fixed-point smoothing algorithm from covariances based on uncertain observations with correlation in the uncertainty

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2008, Appl. Math. Comput..

Linear and quadratic least-squares estimation using measurements with correlated one-step random delay

Aurora Hermoso-Carazo, Josefa Linares-Pérez, A. Hermoso-Carazo, 2008, Digit. Signal Process..

Fixed-point smoothing with non-independent uncertainty using covariance information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, Int. J. Syst. Sci..

Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2015, Int. J. Gen. Syst..

Recursive smoothing algorithms for the estimation of signals from uncertain observations via mixture approximations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, José D. Jiménez-López, 2010, Int. J. Syst. Sci..

Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2011, Signal Process..

Recursive least-squares quadratic smoothing from measurements with packet dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2012, Signal Process..

Derivation of fixed-interval smoothing algorithm using covariance information in distributed parameter systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2006, Appl. Math. Comput..

A New Estimation Algorithm from Measurements with Multiple-Step Random Delays and Packet Dropouts

Raquel Caballero-Águila, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2010 .

Design of Quadratic Estimators using Covariance Information in Linear Discrete-Time Stochastic Systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2008 .

Unscented filtering algorithm using two-step randomly delayed observations in nonlinear systems

Aurora Hermoso-Carazo, Josefa Linares-Pérez, A. Hermoso-Carazo, 2009 .

Second-Order Polynomial Estimators from Non-independent Uncertain Observations Using Covariance Information

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2003, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Extended and Unscented Filtering Algorithms in Nonlinear Fractional Order Systems with Uncertain Observations

Aurora Hermoso-Carazo, Josefa Linares-Pérez, R. Caballero, 2012 .

Unscented Filtering from Delayed Observations with Correlated Noises

Aurora Hermoso-Carazo, Josefa Linares-Pérez, A. Hermoso-Carazo, 2009 .

An innovation approach to the smoothing problem from uncertain observations with correlated signal and noise

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2005 .

Fixed-point, fixed-interval and fixed-lag smoothing algorithms from uncertain observations based on covariances

Seiichi Nakamori, Raquel Caballero-Águila, Aurora Hermoso-Carazo, 2004 .

Design of quadratic estimators using covariance information in linear discrete‐time stochastic systems

Seiichi Nakamori, Aurora Hermoso-Carazo, Josefa Linares-Pérez, 2008 .